| Literature DB >> 32376108 |
Lois Privor-Dumm1, Prarthana Vasudevan2, Kana Kobayashi3, Jaya Gupta4.
Abstract
The global population of adults over 65 years of age is growing rapidly and is expected to double by 2050. Countries will face substantial health, economic and social burden deriving from vaccine-preventable diseases (VPDs) such as influenza, pneumonia and herpes zoster in older adults. It will be essential that countries utilize several public health strategies, including immunization. Understanding the different approaches countries have taken on adult immunization could help provide future learnings and technical support for adult vaccines within life-course immunization strategies. In this study, we describe the priorities and approaches that underlie adult immunization decision-making and implementation processes in 32 high-and-middle-income countries and two territories ("34 countries") who recommend adult vaccines in their national schedule. We conducted an archetype analysis based on a subset of two dozen indicators abstracted from a larger database. The analysis was based on a mixed-methods study, including results from 120 key informant interviews in six countries and a landscape review of secondary data from 34 countries. We found four distinct archetypes: disease prevention-focused; health security-focused; evolving adult focus; and, child-focused and cost-sensitive. The highest performing countries belonged to the disease prevention-focused and health security archetypes, although there was a range of performance within each archetype. Considering common barriers and facilitators of decision-making and implementation of adult vaccines within a primary archetype could help provide a framework for strategies to support countries with similar needs and approaches. It can also help in developing context-specific policies and guidance, including for countries prioritizing adult immunization programs in light of COVID-19. Further research may be beneficial to further refine archetypes and expand the understanding of what influences success within them. This can help advance policies and action that will improve vaccine access for older adults and build a stronger appreciation of the value of immunization amongst a variety of stakeholders.Entities:
Keywords: Adult immunization; Archetype; COVID-19; Decision-making; Healthy aging; Implementation; Life-course; Older adults; Policy; Vaccine
Mesh:
Year: 2020 PMID: 32376108 PMCID: PMC7252137 DOI: 10.1016/j.vaccine.2020.04.027
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Research domains and illustrative indicators.
| Country Characteristics | Life expectancies | 32 |
| Health & Immunization Systems | Insurance systems | >50 |
| Policies & Decision-making | NITAG structures | 28 |
| Adult Vaccine Uptake | Vaccine-specific coverage for adults | 15 |
| Stakeholders & Champions | Key experts & advocates across medical, healthy aging, and other communities | 7 |
A landscape review of the 34 countries was conducted. Research was divided into five domains and data collected on specific indicators, as illustrated above.
Scoring.
| Early or late adopter of adult vaccines | |
| Country-specific policy requirements of manufacturers | |
| Disease burden surveillance | |
| NITAG’s prioritization of health security in decision-making | |
| NITAG’s utilization of cost-effectiveness (C-E) data in decision-making | |
| NITAG has adult vaccine working group(s) | |
| Public policy - pneumococcal vaccination for older adults | |
| Public policy - herpes zoster vaccine (HZV) for older adults | |
| Publication of Health Aging Strategies | |
| Publication of National Immunization Strategies | |
| Vaccine Financing – Level of public financing (for each vaccine) | |
| Vaccine Registry (for pediatric and adult populations) | |
| Availability of Public Vaccine Coverage Data (for each vaccine) | |
| Advocacy – promotion of adult immunization | |
| Influence of individuals or organizational leaders on how older adult immunization program is implemented | |
| Access – Ease of getting vaccinated as an older adult | |
| Equity is a focus in adult vaccine program implementation | |
| Degree of centralization of adult vaccine delivery | |
| Degree of centralization of health system delivery | |
*0.5 and 1.5 scores added based on feedback during validation process.
Countries were assessed on their adult vaccine implementation and decision-making. Decision-making was scored upon 10 indicators and implementation upon 9 indicators. Each indicator was ascribed a quantitative score, as described above.
Countries responding to validation survey.
| Country | Received survey results | Responded with feedback |
|---|---|---|
| Argentina | ✓ | |
| Australia | ✓ | ✓ |
| Belgium | ✓ | ✓ |
| Brazil | ✓ | ✓ |
| Canada | ✓ | ✓ |
| China | ✓ | ✓ |
| Colombia | ✓ | ✓ |
| Denmark | ✓ | |
| France | ✓ | |
| Germany | ✓ | ✓ |
| Greece | ✓ | |
| Hong Kong | ✓ | ✓ |
| India | ✓ | ✓ |
| Ireland | ✓ | |
| Italy | ✓ | ✓ |
| Japan | ✓ | ✓ |
| South Korea | ✓ | |
| Malaysia | ✓ | ✓ |
| Mexico | ✓ | ✓ |
| Netherlands | ✓ | ✓ |
| New Zealand | ✓ | ✓ |
| Norway | ✓ | |
| Peru | ✓ | |
| Philippines | ✓ | ✓ |
| Russia | ✓ | |
| Saudi Arabia | ✓ | ✓ |
| Spain | ✓ | |
| Sweden | ✓ | ✓ |
| Switzerland | ✓ | ✓ |
| Taiwan | ✓ | |
| Turkey | ✓ | |
| UAE | ✓ | |
| UK | ✓ | ✓ |
| USA | ✓ | ✓ |
The results of the archetype analysis was shared with experts representing all 34 countries. 21 countries responded and participated in the validation process.
Proportion of older adults as a percentage of the total population: 2020 and 2050.
| 2020 | 2050 | 2020 | 2050 | |
|---|---|---|---|---|
| % Population 50+ | % Population 50+ | % Population 65+ | % Population 65+ | |
| World | 24.2 | 32.7 | 9.3 | 15.9 |
| High-income countries | 37.7 | 45.2 | 18.4 | 26.9 |
| Upper-middle-income countries | 29.1 | 42.3 | 10.8 | 22.5 |
| Lower-middle-income countries | 17.8 | 28.0 | 5.9 | 11.7 |
| Low-income countries | 10.5 | 16.2 | 3.3 | 5.4 |
| Argentina | 25.3 | 34.9 | 11.4 | 17.3 |
| Australia | 34.0 | 40.2 | 16.2 | 22.8 |
| Belgium | 39.4 | 44.8 | 19.3 | 26.9 |
| Brazil | 25.5 | 43.3 | 9.6 | 22.7 |
| Canada | 38.6 | 44.4 | 18.1 | 25.0 |
| China | 32.8 | 47.2 | 12.0 | 26.1 |
| Colombia | 24.1 | 41.6 | 9.1 | 21.0 |
| Denmark | 40.1 | 42.9 | 20.2 | 24.2 |
| France | 40.1 | 45.1 | 20.8 | 27.8 |
| Germany | 44.7 | 49.0 | 21.7 | 30.0 |
| Greece | 43.2 | 54.0 | 22.3 | 36.2 |
| Hong Kong | 42.2 | 53.8 | 18.2 | 34.7 |
| India | 19.4 | 32.8 | 6.6 | 13.8 |
| Ireland | 31.8 | 42.9 | 14.6 | 26.6 |
| Italy | 45.7 | 54.2 | 23.3 | 36.0 |
| Japan | 47.4 | 55.3 | 28.4 | 37.7 |
| Korea | 39.7 | 59.0 | 15.8 | 38.1 |
| Malaysia | 20.7 | 37.5 | 7.2 | 17.0 |
| Mexico | 21.1 | 35.5 | 7.6 | 17.0 |
| Netherlands | 41.3 | 46.7 | 20 | 28 |
| New Zealand | 35.2 | 42.4 | 16.4 | 23.9 |
| Norway | 36.4 | 42.6 | 17.5 | 24.0 |
| Peru | 22.6 | 37.2 | 8.7 | 18.9 |
| Philippines | 17.2 | 28.5 | 5.5 | 11.8 |
| Russia | 35.4 | 41.0 | 15.5 | 22.9 |
| Saudi Arabia | 15.1 | 36.6 | 3.5 | 17.2 |
| Spain | 41.3 | 53.5 | 20.0 | 36.8 |
| Sweden | 38.8 | 42.9 | 20.3 | 14.6 |
| Switzerland | 40.5 | 47.2 | 19.1 | 28.6 |
| Taiwan | 38.3 | 55.7 | 15.8 | 35.0 |
| Turkey | 23.6 | 39.3 | 9.0 | 20.9 |
| UAE | 11.2 | 26.4 | 1.3 | 16.1 |
| UK | 37.9 | 43.8 | 18.7 | 25.3 |
| USA | 35.6 | 40.8 | 16.6 | 22.4 |
Data Source: https://population.un.org/wpp/DataQuery/.
Expected older adult populations are shown by income status groups and by country for 2020 and 2050. Estimates are presented for adults over 50 years of age (50+) and over 65 years of age (65+).
Fig. 1Current uptake of adult vaccines compared to expected proportion of older population in 2020, by country. Sources: Vaccine coverage based on multiple sources in IVAC adult vaccine database (2018). Proportion of older adult population from UN Population Trends (2019). Countries are plotted on the x axis, with national influenza (in blue) and pneumococcal vaccine coverage (in orange) plotted on the y-axis. Also plotted (in grey) on the y-axis is an estimate of the older adult population in 2020. Vaccine coverages and expected older adult population vary within and among countries. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 2Drivers of Decision-Making and Implementation. Respondent ratings of how important 8 factors are to country decision-making on adult vaccines. The coding scale used: (0) Unsure or no comment, (1) no influence, (2) little influence, (3) strong influence.
Fig. 3Perceived capability of national adult vaccine implementation, by case study country. Respondents rated their agreement or disagreement with the seven listed statements on their perceptions of adult vaccine implementation in their country. Scores were: (0) unclear or no comment (1) strongly disagree (2) somewhat agree (3) strongly agree.
Country Scores on Robustness of Decision-Making.
See Table 2 for score descriptors. Generally, the higher the score the better that country meets the indicator; 0 scores either mean the country doesn't meet the indicator or no data were found.
Country Scores on Implementation.
See Table 2 for score descriptors. Generally, the higher the score the better that country meets the indicator; 0 scores either mean the country doesn't meet the indicator or no data were found.
Fig. 4Country Score Plot and Adult Vaccine Archetypes. Combining two separate analyses, this graph plots countries’ performance in implementation and decision-making as a point estimate, overlaid with each country’s primary archetype denoted by a symbol (within an archetype, countries share similarities around vaccine decision-making; (see Table 5). Countries are plotted according to their adult vaccine implementation score (see Table 5) on the x axis and their adult vaccine decision-making score (see Table 6) on the y axis. For example, the UK scored 23 in implementation and 16.5 in decision-making, and is plotted at (23, 16.5). Some countries share the same coordinate, with two names next to a single point. Countries with the highest implementation and decision-making scores appear in the top right corner of the graph. Primary archetype (disease prevention focused; health security focused; evolving adult focus; or cost-sensitive and child focused) is designated by the color of the country’s name and the symbol overlaid each point. Most countries (n=12) belong to the health security primary archetype.